Understanding UK AI R&D commercialisation and the role of standards: Executive Summary
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Ada Labs (www.AdaLabsAfrica.com) Africa and AI Center of Excellence (AICE) have today announced an initiative with NVIDIA to contribute to the digitization of the African continent through artificial intelligence (AI) and collaborate on a number of data science and AI projects.
The CEO of Ada Labs Africa, John Kamara, said the relationship will strengthen the capability of data science and AI rollouts in Africa as the two organizations collectively work to build capacity to train AI engineers in Africa. The new initiative will also address the scarcity and cost of skilled AI engineers.
“Our journey in contributing to digitize the African continent has taken another important leap because of this initiative. We have invested heavily in infrastructure and platforms that will enable digitization of some of the key sectors affecting African growth and understand the critical role of AI in achieving our mission efficiently. However, if we do not have enough qualified people to manage
The technology gathers and anaylizes images that are then checked over by a human intelligence analyst.
Surveillance cameras, drone sensors and space-spaced satellite reconnaissance technologies are all designed make instant object determinations, perform data analyses and quickly identify items of interest. This is a process which can be both extremely complex and challenging for force commanders looking to navigate unknown terrain or fast-changing combat dynamics on the ground below.
An extensive, elaborate database of factors, facts, variables and identifiable geographical features are all part of a broader interpretive calculus necessary to provide images, video feeds or renderings to human decision makers. A technology-focused industry firm which does work with Department of Defnese called CACI is developing a new software application called FeatureTrace to improve or expedite this process.
The U.S. Military Has Big Plans for AI (Like Killing Enemy Tanks)
High-tech AI and programs will help figure out where enemy forces are moving even when spy drones cannot see them.
Should an enemy tank all of a sudden move into and then exit the video “field of view” generated by a surveillance drone, is there any way for human operators to discern an idea about where it might have gone? Or be able to accurately predict where, how and when the enemy might return into a drone sensor’s detection envelope? Establishing a continuous track on a target or object of great tactical relevance can prove difficult for even the most advanced drones. Perhaps the enemy tank enters a cave or thickly wooded area to deliberately obscure itself from detection? Perhaps the enemy tank turns off its engine to remove its heat signature and avoid being found by thermal sensors? Perhaps it moves into structures or behind buildings to diminish or remove its radar signature? Doesn’t this complicate
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